Implement quantile approximation

[aimalz]

@drphilmarshall I have code that does some of this but it needs to be integrated into the qp class. This is an Epic, being addressed in PR #2 .

• PDF.quantize() PDF.quantize() #14
• PDF.interpolate() PDF.interpolate() #15
• KL divergence between PDF and qp approximation Quantify quantile parametrization approximation with KL divergence #9
• 'PDF.histogram()' Implement histogram representation #23
• Better quantile spacing Better quantile spacing #35

[drphilmarshall]

Since #16 you can check off the top item on your Epic list, @aimalz . Next item of business is #15, I guess? Looking fwd to seeing the plot in the demo! :-)

[aimalz]

How are we doing on today's launch deadline? I'm not sure what we need to do to execute a launch. Is the basic goal to make it PyPI/pip installable? (Is it even ready for that?)

[drphilmarshall]

This issue can be closed, because I punted #24 to the future. The only remaining issue in the milestone is the KLD notebook, #34 - once you have done that, there's no more development to be done and you can make a "release". Call it "v0.1" and "beta" or something - "beta" implies its ready for others to use, and I think it is! :-) Just make sure that the version number in setup.py matches whatever you choose. I'd avoid v1.0 until we have a Note done. (At the moment the method is not fully tested!) What do you think?

[drphilmarshall]

PS. Here's the milestone: https://github.com/aimalz/qp/milestone/1